Triple
T27001912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de Matatipac |
E680131
|
entity |
| Predicate | isGeographicContextFor |
P3227
|
FINISHED |
| Object | Tepic metropolitan area |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tepic metropolitan area | Statement: [Valle de Matatipac, isGeographicContextFor, Tepic metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGeographicContextFor Context triple: [Valle de Matatipac, isGeographicContextFor, Tepic metropolitan area]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
C.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
D.
containsGeographicalArea
Indicates that one geographical area spatially encompasses or includes another geographical area within its boundaries.
-
E.
hasGeographicBasis
Indicates that something is grounded in, derived from, or defined by a particular geographic location or area.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621ccd2cc81909038345988236fc5 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:58 a.m.